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Agile Benchmarking
/in agileA summarization of Agile studies is presented: 016 benchmarking results, Agile adoption, Agile and CMMI, Agile scaling and building an Agile culture.
Software Costs Versus Rates
/in project controlShow the main conclusions from the Cost per Function Point vs Rates studies carried out by LEDAmc. Quality performance vs productivity indicators in two real scenarios, are discussed.
Software Data Collection
/in project controlThis presentation expands the definition of software data and its scope. It also discusses the needs of next generation IT projects.
Estimation Improvement
/in estimationA large proportion of software projects are delivered over-budget and behind time. Accurate project estimations are needed to overcome this issue.
Cloud Solutions
/in project controlThis presentation explores cloud computing and cloud solutions. It provides: an overview of the implications and costs of migration to the cloud and it uses a case study to demonstrate migration of the ‘same’ capability in each of the three cloud solution scenarios.
IoT Measurement and Estimation
/in estimationA discussion of IoT frameworks, adopting a customer-driven approach and cost estimation.
Cloud Costing
/in project controlAn in-depth analysis of cloud-based computing. It includes: cloud total ownership costing, consideration of technologies, costs and benefits.
Data-Driven Cost Estimation
/in estimationThis presentation examines the impact of private and public industry data on cost estimation of software projects.
Agile Velocity
/in agileThis talk explains how the ISBSG database can be used to determine velocity in terms of size, based on the story points assigned to story cards. No additional metrics are needed except some automated COSMIC counting. The approach uses the powerful concept of transfer functions, and also the Buglione-Trudel matrix for determining story cards priorities.
Software Data Estimates
/in estimationThis paper chronicles a journey that PRICE Systems has traveled with an Army customer to develop and institutionalize a process for the collection and application of historical cost data for software projects. Price is now armed with the right tools and processes to deliver defendable, credible estimates to their program office.
Effect of Planning on Productivity
/in productivityThe focus of this presentation is on the input effort delivered by the team to do work, rather than the work output and factors affecting productivity. We will first revisit and clarify some fundamental concepts of Team Size and Team Power. We will then investigate (empirically) the nature of the relationship between Average Team Power and Average Team Size.
Software Estimation Bias
/in estimationThis presentation discusses the issues of estimation bias and strategic mis-estimation as well as how to mitigate these issues. Both the results of Nobel prize winning work and subsequent discoveries by researchers and the author will be discussed.
Triangle Benchmarking
/in benchmarkingThe Triangle Benchmarking concept is based on very few measurements and reasonably light data collection, compared to traditional benchmarking services. It can be easily applied within all kinds of organizations and especially well with Agile software development projects, as the old heavier benchmarking services were applicable and affordable only for very large corporations.
Software Verification Validation
/in project controlThe complex software applications controlling critical safety domains, such as transportation, raise increasing concerns about the ability of software development, verification and validation processes to avoid the presence of software faults in such applications. An account of currently applied techniques and of open research challenges will be given.
Automated Function Analysis
/in agileWe present a prototype of a technical framework to perform AFP (Automated Function Point Analysis) on software built on a canonical architecture (Java Enteprise with Entities modeled using JPA 2.0 – the Java Persistence Framework). The solution is integrated in Sonarqube. It allows for on-the-fly assessment of a new quality metric that we propose, called “Technical Delay”.